Tutorials
| Tutorial #1 |
|
| Title: |
Iterative methods for sparse linear systems: Theory and practice |
| Date/Time: |
March 31, 2022; 10am-1pm MDT (UTC-6: 16:00 - 19:00 UTC) |
| Organizers: |
Yousef Saad (U. Minnesota), Ruipeng Li (Lawrence Livermore Lab), Yuanzhe Xi (Emory) |
| Topics |
- Introduction to iterative methods
- Sparse matrices, basic iterations, Krylov methods
- Preconditioning techniques
- Software demos, and practice
|
| Tutorial #2 |
|
| Title: |
GraphBLAS for iterative methods involving large-scale data science applications |
| Date/Time: |
April 1, 2022; 10am-1pm MDT (UTC-6: 16:00 - 19:00 UTC) |
| Organizers: |
Geoff Sanders (Lawrence Livermore National Lab), Scott McMillan (CMU/SE), Tim Mattson (Intel), Roger Pearce (LLNL), Trevor Steil (LLNL), Ancy Tom (U. Minnesota) |
| Topics |
- Introduction to GraphBLAS
- Graph analysis algorithms
- Distributed GraphBLAS
|
Highlighted Conference Topics
- Asynchronous iterative solvers
- Eigenvalue and singular value methods and applications
- Inverse problems, regularization
- Iterative Applications: earth systems
- Iterative Applications: energy
- Iterative Applications: fluids
- Iterative Applications: electromagnetics
- Iterative Applications: imaging
- Solvers at extreme scale & on high concurrency node architectures
- Iterative solvers and machine learning
- Iterative solvers in data science and engineering
- Iterative solvers and Quantum computing
- Optimization of complex problems & Systems
- Multilevel solvers
- Multigrid methods for partially structured grids
- Nonlinear solvers
- Randomized iterative solvers and preconditioners
- Rank-structured solvers and preconditioners
- Robust & scalable iterative solution of coupled multi-physics problems
- Solvers for indefinite systems
- Surrogate modeling & model reduction
- Uncertainty quantification, PDEs with random data
Conference Format
The 2022 conference will be a virtual conference, entirely online.
The daily schedule will involve five days of parallel sessions, with around
four hours of talks. More details can be found below and on
the program page.
In addition to and prior to the technical presentation, the following
tutorials will be offered this year.
- Iterative methods for sparse linear systems: Theory and practice (previous Th)
- GraphBLAS for iterative methods involving large-scale data science applications (previous Fr)
A student paper competition is open to
current and recent students attending the conference. In addition, a
special section devoted to the themes of
the conference is open to all.
Special section devoted to iterative methods
Special Section Editor: Andreas Stathopoulos
As in previous even-numbered years, papers are invited for submission to a special section in the SIAM
Journal on Scientific Computing.
This single section will be dedicated to recent progress in iterative
methods. Submissions are encouraged in all aspects of iterative methods,
including this year's highlighted topics.
Attendees and participants of the conference as well as the general community
are invited to submit papers. The papers should meet the formatting and
editorial requirements of SIAM Journal on Scientific Computing.
Submissions for the special issue will be accepted from
April 11,2022 until
June 27, 2022 June 15, 2022. Papers will be subject to review
by a guest Editorial Board. Submissions should be made using the ordinary
submission process at
http://sisc.siam.org, with a statement in the cover letter requesting
that the paper be considered for the special issue. In addition, the "Copper
Mountain Special Section 2022" should be selected in the Special Section
dropdown.
